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This commit implements the three core data entry steps for the bakery setup wizard, enabling users to configure their essential operational data immediately after onboarding. ## Implemented Steps ### 1. Suppliers Setup Step (SuppliersSetupStep.tsx) - Inline form for adding/editing suppliers - Required fields: name, supplier_type - Optional fields: contact_person, phone, email - List view with edit/delete actions - Minimum requirement: 1 supplier - Real-time validation and error handling - Integration with existing suppliers API hooks ### 2. Inventory Setup Step (InventorySetupStep.tsx) - Inline form for adding/editing ingredients - Required fields: name, category, unit_of_measure - Optional fields: brand, standard_cost - List view with edit/delete actions (scrollable) - Minimum requirement: 3 ingredients - Progress indicator showing remaining items needed - Category and unit dropdowns with i18n support ### 3. Recipes Setup Step (RecipesSetupStep.tsx) - Recipe creation form with ingredient management - Required fields: name, finished_product, yield_quantity, yield_unit - Dynamic ingredient list (add/remove ingredients) - Prerequisite check (requires ≥2 inventory items) - Per-ingredient validation (ingredient_id, quantity) - Minimum requirement: 1 recipe - Integration with recipes and inventory APIs ## Key Features ### Shared Functionality Across All Steps: - Parent notification via onUpdate callback (itemsCount, canContinue) - Inline forms (not modals) for better UX flow - Real-time validation with error messages - Loading states and empty states - Responsive design (mobile-first) - i18n support with translation keys - Delete confirmation dialogs - "Why This Matters" sections explaining value ### Progress Tracking: - Progress indicators showing count and requirement status - Visual feedback when minimum requirements met - "Need X more" messages for incomplete steps ### Error Handling: - Field-level validation errors - Type-safe number inputs - Required field indicators - User-friendly error messages ## Technical Implementation ### API Integration: - Uses existing React Query hooks pattern - Proper cache invalidation on mutations - Tenant-scoped queries - Optimistic updates where applicable ### State Management: - Local form state for each step - useEffect for parent updates - Reset functionality on cancel/success ### Type Safety: - TypeScript interfaces for all data - Enum types for categories and units - Proper typing for mutation callbacks ## Files Modified: - frontend/src/components/domain/setup-wizard/steps/SuppliersSetupStep.tsx - frontend/src/components/domain/setup-wizard/steps/InventorySetupStep.tsx - frontend/src/components/domain/setup-wizard/steps/RecipesSetupStep.tsx ## Related: - Builds on Phase 1 wizard foundation - Integrates with existing suppliers, inventory, and recipes services - Follows design specification in docs/wizard-flow-specification.md - Addresses JTBD analysis findings in docs/jtbd-analysis-inventory-setup.md ## Next Steps (Phase 3): - Quality Setup Step - Team Setup Step - Template systems - Bulk import functionality
🍞 Bakery IA - Multi-Service Architecture
Welcome to Bakery IA, an advanced AI-powered platform for bakery management and optimization. This project implements a microservices architecture with multiple interconnected services to provide comprehensive bakery management solutions.
🚀 Quick Start
Prerequisites
- Docker Desktop with Kubernetes enabled
- Docker Compose
- Node.js (for frontend development)
Running the Application
-
Clone the repository:
git clone <repository-url> cd bakery-ia -
Set up environment variables:
cp .env.example .env # Edit .env with your specific configuration -
Run with Docker Compose:
docker-compose up --build -
Or run with Kubernetes (Docker Desktop):
# Enable Kubernetes in Docker Desktop # Run the setup script ./scripts/setup-kubernetes-dev.sh
🏗️ Architecture Overview
The project follows a microservices architecture with the following main components:
- Frontend: React-based dashboard for user interaction
- Gateway: API gateway handling authentication and routing
- Services: Multiple microservices handling different business domains
- Infrastructure: Redis, RabbitMQ, PostgreSQL databases
🐳 Kubernetes Infrastructure
🛠️ Services
The project includes multiple services:
- Auth Service: Authentication and authorization
- Tenant Service: Multi-tenancy management
- Sales Service: Sales processing
- External Service: Integration with external systems
- Training Service: AI model training
- Forecasting Service: Demand forecasting
- Notification Service: Notifications and alerts
- Inventory Service: Inventory management
- Recipes Service: Recipe management
- Suppliers Service: Supplier management
- POS Service: Point of sale
- Orders Service: Order management
- Production Service: Production planning
- Alert Processor: Background alert processing
📊 Monitoring
The system includes comprehensive monitoring with:
- Prometheus for metrics collection
- Grafana for visualization
- ELK stack for logging (planned)
🚀 Production Deployment
For production deployment on clouding.io with Kubernetes:
- Set up your clouding.io Kubernetes cluster
- Update image references to your container registry
- Configure production-specific values
- Deploy using the production kustomization:
kubectl apply -k infrastructure/kubernetes/environments/production/
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
📄 License
This project is licensed under the MIT License.